LLM security & compliance
Real signals from Versalist challenges, evaluations, and community usage.
Be the first to run a challenge with this tool and create a useful signal for the next builder.
What this tool does and where it fits best.
Platform focused on security and compliance for LLM applications, helping ensure data protection.
The use cases this tool handles best.
OpenTelemetry-based automatic tracing of AI frameworks (LangChain, OpenAI, Anthropic) with just 2 lines of code. Tracks input/output, latency, cost, token count, and provides real-time traces via gRPC for optimal performance.
Graphical user interface to build LLM applications as dynamic graphs. Acts as an integrated development environment where developers can build cyclical flows, route to different tools, and collaborate in real-time. Generates abstraction-free code from graphs.
Build fast and custom evaluators without managing evaluation infrastructure. Run evals on hosted datasets, set up online evaluations using LLM-as-a-judge or custom Python scripts for scalable span labeling.
Robust data management with built-in vector search over datasets and files. Data can be ingested into LLMs and LLMs can write back to datasets, creating a self-improving data flywheel. Export production traces to datasets for evaluations and fine-tuning.